PhenomeScape
Computational Tool
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General Information
DescriptionA cytoscape app to identify differentially regulated sub-networks using known disease associations
Homepagehttps://github.com/soulj/PhenomeScape
Publications
PhenomeScape: a cytoscape app to identify differentially regulated sub-networks using known disease associations
Jamie Soul; Sara L. Dunn; Tim E. Hardingham; Ray P. Boot-Handford; Jean-Marc Schwartz
Summary: PhenomeScape is a Cytoscape app which provides easy access to the PhenomeExpress algorithm to interpret gene expression data. PhenomeExpress integrates protein interaction networks with known phenotype to gene associations to find active sub-networks enriched in differentially expressed genes. It also incorporates cross-species phenotypes and associations to include results from animal models of disease. With expression data imported into PhenomeScape, the user can quickly generate and visualise interactive sub-networks. PhenomeScape thus enables researchers to use prior knowledge of a disease to identify differentially regulated sub-networks and to generate an overview of altered biologically processes specific to that disease.
Availability and Implementation: Freely available for download at https://github.com/soulj/PhenomeScape
Contact: jamie.soul@postgrad.manchester.ac.uk or jean-marc.schwartz@manchester.ac.uk
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